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Assessing the quality of cause of death data in six high-income countries: Australia, Canada, Denmark, Germany, Japan and Switzerland.
Mikkelsen, Lene; Iburg, Kim Moesgaard; Adair, Tim; Fürst, Thomas; Hegnauer, Michael; von der Lippe, Elena; Moran, Lauren; Nomura, Shuhei; Sakamoto, Haruka; Shibuya, Kenji; Wengler, Annelene; Willbond, Stephanie; Wood, Patricia; Lopez, Alan D.
Affiliation
  • Mikkelsen L; Bloomberg Data for Health Initiative, University of Melbourne, Melbourne, Australia.
  • Iburg KM; Institute of Public Health, Aarhus University, Århus, Denmark.
  • Adair T; Bloomberg Data for Health Initiative, University of Melbourne, Melbourne, Australia.
  • Fürst T; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Hegnauer M; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • von der Lippe E; Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
  • Moran L; Australian Bureau of Statistics, Canberra, Australia.
  • Nomura S; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Sakamoto H; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Shibuya K; University Institute of Population Health, King's College London, London, UK.
  • Wengler A; Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
  • Willbond S; Statistics Canada, Ottawa, Canada.
  • Wood P; Statistics Canada, Ottawa, Canada.
  • Lopez AD; Bloomberg Data for Health Initiative, University of Melbourne, Melbourne, Australia. alan.lopez@unimelb.edu.au.
Int J Public Health ; 65(1): 17-28, 2020 Jan.
Article in En | MEDLINE | ID: mdl-31932856
ABSTRACT

OBJECTIVES:

To assess the policy utility of national cause of death (COD) data of six high-income countries with highly developed health information systems.

METHODS:

National COD data sets from Australia, Canada, Denmark, Germany, Japan and Switzerland for 2015 or 2016 were assessed by applying the ANACONDA software tool. Levels, patterns and distributions of unusable and insufficiently specified "garbage" codes were analysed.

RESULTS:

The average proportion of unusable COD was 18% across the six countries, ranging from 14% in Australia and Canada to 25% in Japan. Insufficiently specified codes accounted for a further 8% of deaths, on average, varying from 6% in Switzerland to 11% in Japan. The most commonly used garbage codes were Other ill-defined and unspecified deaths (R99), Heart failure (I50.9) and Senility (R54).

CONCLUSIONS:

COD certification errors are common, even in countries with very advanced health information systems, greatly reducing the policy value of mortality data. All countries should routinely provide certification training for hospital interns and raise awareness among doctors of their public health responsibility to certify deaths correctly and usefully for public health policy.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Developed Countries / Data Collection / Mortality / Cause of Death / Data Accuracy Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte / Asia / Europa / Oceania Language: En Journal: Int J Public Health Journal subject: SAUDE PUBLICA Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Developed Countries / Data Collection / Mortality / Cause of Death / Data Accuracy Type of study: Prognostic_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte / Asia / Europa / Oceania Language: En Journal: Int J Public Health Journal subject: SAUDE PUBLICA Year: 2020 Document type: Article Affiliation country: